## Family: zero_inflated_poisson
## Links: mu = log; zi = logit
## Formula: n_amr_events ~ ln_livestock_consumption_kg_per_capita + ln_migrant_pop_perc + ln_tourism_inbound_perc + ln_tourism_outbound_perc + ab_export_perc + health_expend_perc + human_consumption_ddd + english_spoken + ln_pubs_sum_per_capita + ln_promed_mentions_per_capita + ln_gdp_per_capita + offset(ln_population)
## zi ~ ln_pubs_sum_per_capita + ln_promed_mentions_per_capita + ln_gdp_per_capita + ln_population + english_spoken
## Data: data[[i]] (Number of observations: 198)
## Samples: 120 chains, each with iter = 2000; warmup = 1000; thin = 1;
## total post-warmup samples = 120000
##
## Population-Level Effects:
## Estimate Est.Error l-95% CI
## Intercept -13.27 3.22 -19.87
## zi_Intercept 29.52 6.99 16.52
## ln_livestock_consumption_kg_per_capita -0.35 0.16 -0.57
## ln_migrant_pop_perc 0.23 0.05 0.10
## ln_tourism_inbound_perc 0.11 0.11 -0.08
## ln_tourism_outbound_perc 0.03 0.19 -0.40
## ab_export_perc 5.26 1.25 2.55
## health_expend_perc 0.02 0.03 -0.06
## human_consumption_ddd 0.09 0.02 0.05
## english_spoken -0.58 0.17 -0.89
## ln_pubs_sum_per_capita 0.11 0.13 -0.15
## ln_promed_mentions_per_capita 0.26 0.09 0.10
## ln_gdp_per_capita -0.09 0.10 -0.29
## zi_ln_pubs_sum_per_capita -0.07 0.29 -0.65
## zi_ln_promed_mentions_per_capita 0.16 0.35 -0.50
## zi_ln_gdp_per_capita -1.34 0.30 -1.97
## zi_ln_population -1.01 0.23 -1.49
## zi_english_spoken -1.51 0.66 -2.87
## u-95% CI Eff.Sample Rhat
## Intercept -7.24 76 2.18
## zi_Intercept 43.99 2562 1.02
## ln_livestock_consumption_kg_per_capita -0.01 63 4.54
## ln_migrant_pop_perc 0.33 86 1.82
## ln_tourism_inbound_perc 0.35 67 3.21
## ln_tourism_outbound_perc 0.35 65 3.65
## ab_export_perc 7.44 105 1.53
## health_expend_perc 0.09 75 2.24
## human_consumption_ddd 0.13 72 2.46
## english_spoken -0.09 72 2.50
## ln_pubs_sum_per_capita 0.36 92 1.70
## ln_promed_mentions_per_capita 0.42 80 1.99
## ln_gdp_per_capita 0.13 90 1.73
## zi_ln_pubs_sum_per_capita 0.49 1135 1.03
## zi_ln_promed_mentions_per_capita 0.86 4303 1.01
## zi_ln_gdp_per_capita -0.78 1756 1.02
## zi_ln_population -0.58 1699 1.02
## zi_english_spoken -0.26 801 1.04
##
## Samples were drawn using sampling(NUTS). For each parameter, Eff.Sample
## is a crude measure of effective sample size, and Rhat is the potential
## scale reduction factor on split chains (at convergence, Rhat = 1).
## [1] TRUE